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Land Cover and Climate Change Effects on Streamflow and Sediment Yield: a Case Study of Tapacurá River Basin, Brazil : Volume 371, Issue 371 (12/06/2015)

By Santos, J. Y. G.

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Book Id: WPLBN0004021430
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Land Cover and Climate Change Effects on Streamflow and Sediment Yield: a Case Study of Tapacurá River Basin, Brazil : Volume 371, Issue 371 (12/06/2015)  
Author: Santos, J. Y. G.
Volume: Vol. 371, Issue 371
Language: English
Subject: Science, Proceedings, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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G. L. Montenegr, S. M., Carvalho Neto, J. G., Silva, A. M., Silva, R. M., G. Santo, C. A., & G. Santo, J. Y. (2015). Land Cover and Climate Change Effects on Streamflow and Sediment Yield: a Case Study of Tapacurá River Basin, Brazil : Volume 371, Issue 371 (12/06/2015). Retrieved from

Description: Federal University of Western Bahia, Center for Humanities, Barreiras, Brazil. This study assesses the impact of the land use and climate changes between 1967–2008 on the streamflow and sediment yield in Tapacurá River basin (Brazil) using the Soil and Water Assessment Tool (SWAT) model. The model was calibrated and validated by comparing simulated mean monthly streamflow with observed long-term mean monthly streamflow. The obtained R2 and Nash–Sutcliffe efficiency values to streamflow data were respectively 0.82 and 0.71 for 1967–1974, and 0.84 and 0.82 for 1995–2008. The results show that the land cover and climate change affected the basin hydrology, decreasing the streamflow and sediment yield (227.39 mm and 18.21 t ha−1 yr−1 for 1967–1974 and 182.86 mm and 7.67 t ha−1 yr−1 for 1995–2008). The process changes are arising mainly due to the land cover/use variability, but, mainly due to the decreasing in the rainfall rates during 1995–2008 when compared with the first period analysed, which in turn decreased the streamflow and sediments during the wet seasons and reduced the base flow during the dry seasons.

Land cover and climate change effects on streamflow and sediment yield: a case study of Tapacurá River basin, Brazil

Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling of hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413–430, doi:10.1016/j.jhydrol.2006.09.014, 2007.; Behera, S. and Panda, R. K.: Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model, Agr. Ecosyst. Environ., 113, 62–72, doi:10.1016/j.agee.2005.08.032, 2006.; Braga, A. C. F. M., Silva, R. M., Santos, C. A. G., Galvão, C. O., and Nobre, P.: Downscaling of a global climate model for estimation of runoff, sediment yield and dam storage: A case study of Pirapama basin, Brazil, J. Hydrol., 498, 46–58, doi:10.1016/j.jhydrol.2013.06.007, 2013.; Dos Santos, J. Y. G., Da Silva, R. M., Carvalho Neto, J. G., Montenegro, S. M. G. L., Santos, C. A. G., and Silva, A. M.: Assessment of land-use change on streamflow using GIS, remote sensing and a physically-based model, SWAT, Proc. IAHS, 364, 38–43, doi:10.5194/piahs-364-38-2014, 2014.; Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models, J. Hydrol., 10, 282–290, 1970.; Montenegro, S. M. G. L. and Ragab, R.: Impact of possible climate and land use changes in the semi-arid regions: A case study from North Eastern Brazil, J. Hydrol., 434, 55–68, doi:10.1016/j.jhydrol.2012.02.036, 2012.; Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885–900, 2007.; Santana, E. F., Batista, L. V., Silva, R. M., and Santos, C. A. G.: Multispectral image unsupervised segmentation using watershed transformation and cross-entropy minimization in different land use, GISci. Remote Sens., 51, 613–629, doi:10.1080/15481603.2014.980095, 2014.; Silva, R. M., Montenegro, S. M. G., and Santos, C. A. G.: Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment, Nat. Hazards, 63, 576–592, doi:10.1007/s11069-012-0128-2, 2012.; Silva, R. M., Santos, C. A. G., Lima, V. C., and Silva, L. P.: Erosivity, surface runoff, and soil erosion estimation using GIS-coupled runoff-erosion model in the Mamuaba catchment, Brazil, Environ. Monitor. Assess., 185, 8656–8676, doi:10.1007/s10661-013-3228-x, 2013.


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